• Brno University of Technology - Centre of Sports Activities
  • Research centres

  • Pravděpodobně máte vypnutý JavaScript. Některé funkce portálu nebudou funkční.

Branch detail

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrství
Abbreviation: D-KPI
Specialisation: Control of Machines and Processes
Length of Study: 4 years
Programme: Machines and Equipment
Faculty: Faculty of Mechanical Engineering
Academic year: 2017/2018
Accredited from: 1999
Accredited until: 31.12.2020
Branch supervisor: prof. Ing. Václav Píštěk, DrSc.
Issued topics of Doctoral Study Program:
  1. Autonomous control of a snake-like robot

    The aim of the research is modeling and control and autonomy of the robotic snakes (bio-inspired n-link snake robot). Theoretical results will be verified and analyzed by simulation modeling (robotic simulation environment, physical packages Vortex, Bulet etc.). Primary research objectives include (but are not limited to): Complex real-time control design, CPG optimization, hardware implementation of controller and actuators using embedded systems, artificial intelligence, simulation and modeling, computer vision.

    Tutor: Matoušek Radomil, doc. Ing., Ph.D.
  2. Autonomous Robotics and Human-Machine Systems

    The aim of the research is to study and to design novel algorithms for autonomous robots (for industrial area) that are able to sense the environment, reason about it, and take actions to perform some tasks in cooperation with humans. Primary research objectives include (but are not limited to): Complex control design, Cyber-physical system solution, Design original ways to let humans to co-operate with complex semi-autonomous robotic systems, Ensure robot autonomy, on-board sensing and estimation, Machine learning, Computer Vision. Hardware platform will be based on B&R or ABB automation. A robotic platform will use Comau solution.

    Tutor: Matoušek Radomil, doc. Ing., Ph.D.
  3. Design and implementation of adaptive control of smart buildings

    Dissertation thesis will deal with the development and application verified technologies of adaptive control smart houses, using multivariable analysis of signals obtained during the operation of these systems. Adaptation mechanisms are based on the principles of processing vague information using by Petri nets and knowledge base generated by IF - THEN rules. These tools will be used to compile simulation models and design of adaptive control of smart houses. The objective is to design and implementation an innovative methodology for the analysis and recognition of structures in the data for time-dependent for control of smart buildings.

    Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.
  4. Design of adaptive control using the ROS framework

    A significant development in the area of mobile robotics was noticed in the last time in connection with the arrival of modern, powerful and mainly miniature computers and controllers. The development of mobile robotic devices is also correlative of to the development of sensory systems that are increasingly more accurate, faster and smaller. The role of mobile robots can be different. In some stores, Amazon, for example, a system of autonomous mobile robots is used. These mobile robots are able to bring and carry off cart with the desired goods which is needed. Furthermore, mobile robots are used for example for mapping indoor or outdoor space, such as service robots, or as a part of other mechanism, such as parking assistant in automobiles. The proposed project is focuses on mapping the interior and aims to design and implement algorithms of adaptive control of mobile robots. The project will design a system for obtaining data to create a 3D model of the mapped area. For designing the algorithm and for robot control the ROS framework will be used.

    Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.